Predictive value of preoperative inflammatory response biomarkers for metabolic syndrome and post-PCNL systemic inflammatory response syndrome in patients with nephrolithiasis.
Predictive value of preoperative inflammatory response biomarkers for metabolic syndrome and post-PCNL systemic inflammatory response syndrome in patients with nephrolithiasis.
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术前炎症反应生物标志物对肾结石患者代谢综合征及PCNL术后全身炎症反应综合征的预测价值
DOI：
10.18632/oncotarget.20344
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发表时间：
2017-10-17
期刊：
影响因子：
--
通讯作者：
Ye Z
中科院分区：
文献类型：
--
作者：
Tang K;Liu H;Jiang K;Ye T;Yan L;Liu P;Xia D;Chen Z;Xu H;Ye Z
中性粒细胞/淋巴细胞比值（NLR）、衍生中性粒细胞/淋巴细胞比值（dNLR）、血小板/淋巴细胞比值（PLR）和淋巴细胞/单核细胞比值（LMR）是预测各种炎症反应疾病和癌症的诊断和预后的重要生物标志物。然而，还没有关于肾结石患者中这些生物标志物的报道。本研究旨在评价炎症生物标志物对肾结石患者代谢综合征（MetS）和PCNL术后SIRS的预测价值。我们回顾性纳入了513例肾结石患者和204例健康对照者。肾结石组NLR、dNLR、LMR、PLR均显著高于对照组。肾结石患者的NLR、dNLR、LMR和PLR均高于非结石患者。ROC曲线分析显示NLR、dNLR、LMR和PLR预测肾结石和MetS的AUC分别为0.730、0.717、0.627和0.606。此外，使用PCNL后SIRS作为NLR、dNLR、LMR和PLR终点的ROC曲线，AUC分别为0.831、0.813、0.723和0.685。多因素分析显示NLR、dNLR是PCNL术后SIRS的独立预测因素。LMR与MetS独立相关。这些结果表明，术前NLR、dNLR和LMR似乎是肾结石患者PCNL术后SIRS和MetS LMR的有效预测因子。
Neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) were promising biomarkers used to predict diagnosis and prognosis in various inflammatory responses diseases and cancers. However, there have been no reports regarding these biomarkers in kidney stone patients. This study aimed to evaluate the predictive value of inflammatory biomarkers for metabolic syndrome (MetS) and post-PCNL SIRS in nephrolithiasis patients. We retrospectively enrolled 513 patients with nephrolithiasis and 204 healthy controls. NLR, dNLR, LMR and PLR in nephrolithiasis patients were significantly higher than control group. Patients with renal stone have higher NLR, dNLR, LMR and PLR than those without. ROC curve analysis indicated NLR, dNLR, LMR and PLR for predicting patients with nephrolithiasis and MetS, displayed AUC of 0.730, 0.717, 0.627 and 0.606. Additionally, ROC curves, using post-PCNL SIRS as the end-point for NLR, dNLR, LMR and PLR with AUC of 0.831, 0.813, 0.723 and 0.685. Multivariate analysis revealed that NLR, dNLR represented independent factors for predicting post-PCNL SIRS. While LMR independently associated with MetS. These resluts demonstrate preoperative NLR, dNLR and LMR appears to be effective predictors of post-PCNL SIRS and LMR of MetS in nephrolithiasis patients.